Guide-linked quiz · Medium Level
Constitutional AI Quiz
Review the original Constitutional AI training stages, with written principles, critique and revision, AI preferences, and retained human helpfulness data.
Question 1 of 8
What is the 'constitution' in Constitutional AI?
Preview every question8 questions
Answers and explanations appear as you take the quiz.
- What is the 'constitution' in Constitutional AI?
- A legal contract between the user and the company
- The model's neural network architecture
- An explicit written set of principles the model uses to critique and guide its own responses
- A list of banned vocabulary words
- What annotation burden does the original Constitutional AI study aim to reduce?
- Every possible source of human judgment or training data
- All model memory during inference
- The need to evaluate any model behavior
- Reliance on human labels identifying harmful outputs
- In the supervised stage of Constitutional AI, what does the model do to its own output?
- Deletes it without explanation
- Critiques it against a principle and then revises it to be better
- Translates it into a different language
- Encrypts it for safety
- What does RLAIF stand for in the reinforcement-learning stage?
- Reinforcement Learning from AI Feedback
- Recursive Learning Among Internal Functions
- Reduced Latency AI Framework
- Random Label Assignment In Fine-tuning
- What transparency benefit can written constitutional principles provide?
- A complete display of every learned internal preference
- Proof that every future response follows all principles
- Automatic elimination of the preference model
- An inspectable statement of intended guidance used in the process
- Which broader research idea does using AI-generated supervision support?
- Eliminating every evaluation by definition
- Exploring how AI can help supervise other AI systems
- Guaranteeing zero cost for all future training
- Automatically increasing every model’s vocabulary
- Does editing a constitution document alone retroactively change the weights of an already saved trained model?
- No; a training or runtime process must use the changed guidance
- Yes; all saved checkpoints instantly rewrite themselves
- Yes; written words directly become new neural weights without execution
- No model process can ever consume written principles
- Which human comparison data did the original Constitutional AI RL experiments retain alongside AI harmlessness preferences?
- Only human GPU-temperature measurements
- No human comparison data of any kind
- Human helpfulness comparisons
- A mandatory human label for every harmlessness pair
Keep testing yourself
More quizzes picked for your level.